Binary weighted beamforming aims to achieve the optimal radiation pattern with only part of the array elements. The corresponding applications include sparse synthesis, management of aperture resources and targets allocation. However, due to the discrete weighting values as well as the corresponding non-deterministic polynomial computational complexity, most existing adaptive beamforming approaches are not suitable. Here, an algorithm based on simulated annealing optimization is proposed and the performances of binary weighted beamforming with one-dimensional and two-dimensional random arrays are numerically evaluated. According to the results with number of array elements ranging from 17 to 151, the side lobes can be reduced by 4.43 dB in average utilizing only around 66.7% of the total array elements while the width of the main lobe has increased by about 30%. For adaptive beamforming circumstances, an extra depth of up to 20 dB is achieved in presence of a preset jammer. Furthermore, a proof-of-principle optical experiment employing the spatial light modulator device is designed and studied through Huygens-Fresnel simulation.
This paper studies the collaborative unmanned aerial vehicle (UAV) sensing in integrated sensing and communication (ISAC) networks. By equipping sensing and communication units on UAVs, they can execute sensing tasks and transmit the sensing information to the base station (BS) for environment sensing. Due to the mobility and dense deployment of UAVs, they can sense the environment with much lower cost compared to the BS sensing. We aim to minimize the network sensing cost by optimizing the UAV deployment and task assignment collaboratively. For this joint optimization problem, we propose an iterative mechanism to optimize the UAV deployment and task assignment iteratively. UAV deployment problem is modeled as a cluster problem and we utilize a K-means cluster algorithm to solve it efficiently. For task assignment problem, we propose a greedy algorithm to solve it with low complexity. Simulation results validate the effectiveness of our proposed method in different scenarios.
KEYWORDS: Phased array optics, Spatial light modulators, Optical simulations, Phase modulation, Modulation, Beam steering, Near field optics, Monte Carlo methods, Computer simulations, Free space
Optical phased array provides a promising platform for multi-beam steering in optical bands. Here, we propose and demonstrate an effective multi-beam steering scheme employing a phase-only spatial light modulator. The beam orientations and beam amplitudes are both programmable in our proposal. With Huygens-Fresnel simulation, the fidelity value of ~0.998 and ~0.999 are evaluated corresponding to the case of random beam orientations and random beam amplitude ratios, respectively. Furthermore, up to 101-beam steering is experimentally observed, which is much higher than existed reports.
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